The FID metric  [1]} is a standard GAN performance metric to compute distances between the feature vectors of real images and the feature vectors of synthetically generated ones. A lower FID score denotes a better quality of generated samples and more similar to the real ones. In this work, the Inception-v3  [2]} pre-trained model were used to extract the feature vectors of our real and generated samples of document images.
